amir aslani afrashteh; Mohammad Reza Karimi Alavijeh; Maryam Naeli
Abstract
The study sought to investigate and examine the antecedents and consequences of satisfaction of elderly tourists trip experience. The statistical population is all tourists who travel to Isfahan and have a minimum age of 60 years. With cluster sampling and available 346 Structured questionnaire based ...
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The study sought to investigate and examine the antecedents and consequences of satisfaction of elderly tourists trip experience. The statistical population is all tourists who travel to Isfahan and have a minimum age of 60 years. With cluster sampling and available 346 Structured questionnaire based on literature was administered to the target statistical sample. To analyze the data and to test the research hypotheses, structural equation modeling using Smart PLS software is used. The results indicate that of antecedents affecting the satisfaction of elderly tourists trip experience, Novelty, Involvement and local culture rejected and perceived value accepted. In examining the consequences of satisfaction of elderly trip experience, all assumptions, including quality of life, Leisure life satisfaction and future behaviors are accepted.
shirin mahdavi; Mostafa Emadzadeh; azarnoush ansari
Abstract
The identification of tourism market segments helps to better develop travel packages and more efficient strategies. By identifying the expected values derived from the behavioral patterns and comparing them with the behavioral interests of the travel of elderly people, along with individual characteristics, ...
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The identification of tourism market segments helps to better develop travel packages and more efficient strategies. By identifying the expected values derived from the behavioral patterns and comparing them with the behavioral interests of the travel of elderly people, along with individual characteristics, the market for elderly tourists can be segmented and predicted. In terms of the purposes, this is an applied research and in terms of the data collection method, this is descriptive-survey. The qualitative approach and the Delphi method has been used to identify the expected values and, to predict market groups, a quantitative approach using neural networks has been used. This research has been conducted among 380 Esfahani and Tehrani elderly tourists using non-random and available sampling method. The results show that values are due to individual and personality traits, travel motives, travel experiences, travel style, and travel pleasure. The market for elderly tourists was identified and predicted based on the expected values, with the neural network technique in three conservative, prosperous and younger groups.